US9582865B2ActiveUtilityA1

Visualization for blood flow in skin image data

63
Assignee: MICROSOFT TECHNOLOGY LICENSING LLCPriority: Oct 20, 2014Filed: Oct 20, 2014Granted: Feb 28, 2017
Est. expiryOct 20, 2034(~8.3 yrs left)· nominal 20-yr term from priority
Inventors:Jonathan Hoof
G06T 7/90G06T 5/50G06T 2207/20221G06T 2207/10024G06T 2207/20224G06T 7/0012G06T 11/60G06T 2207/30104G06T 2207/30201G06T 7/408G06T 5/009G06T 5/92
63
PatentIndex Score
1
Cited by
14
References
20
Claims

Abstract

Blood flow beneath a user's skin, for example, in a user's face may be visually rendered. In some aspects, a plurality of differences is determined in the intensity of pixels of a first image and the corresponding pixels of a subsequent second image. In some aspects, this plurality of differences is enhanced to accentuate a characteristic associated with the first image and the second image. The enhanced plurality of differences is visually rendered for each subsequent comparison of pixel intensity values.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
       1. A method comprising:
 determining a plurality of differences in intensity comprising a difference in intensity between each pixel intensity of a plurality of pixel intensities of a first image and each pixel intensity of a corresponding plurality of pixel intensities of a subsequent second image; 
 generating a delta image comprising the plurality of differences in intensity; and 
 visually rendering, for each subsequent comparison, an integrated delta image comprising a second plurality of differences, the second plurality of differences comprising the differences between the plurality of differences of the delta image and the subsequent plurality of differences of the subsequent delta image, wherein a visual contrast of the integrated delta image is enhanced to accentuate a characteristic associated with the integrated delta image. 
 
     
     
       2. The method of  claim 1 , further comprising applying bias correction to the integrated delta image. 
     
     
       3. The method of  claim 1 , wherein the plurality of pixel intensities comprises a plurality of intensities of a specific color channel. 
     
     
       4. The method of  claim 3 , wherein the color channel is infrared. 
     
     
       5. The method of  claim 1 , wherein the first image and the second image are collected by a capture device. 
     
     
       6. The method of  claim 1 , wherein the first image and the second image comprise images of a human face. 
     
     
       7. The method of  claim 6 , wherein the integrated delta image comprises a blood flow in the human face. 
     
     
       8. A system comprising:
 a processor; and 
 a memory coupled to the processor, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations comprising:
 determining a plurality of differences in intensity comprising a difference in intensity between each pixel intensity of a plurality of pixel intensities of a first image and each pixel intensity of a corresponding plurality of pixel intensities of a subsequent second image; 
 generating a delta image comprising the plurality of differences in intensity; and 
 visually rendering, for each subsequent comparison, an integrated delta image comprising a second plurality of differences, the second plurality of differences comprising the differences between the plurality of differences of the delta image and the subsequent plurality of differences of the subsequent delta image, wherein a visual contrast of the integrated delta image is enhanced to accentuate a characteristic associated with the integrated delta image. 
 
 
     
     
       9. The system of  claim 8 , wherein the plurality of pixel intensities comprises a plurality of intensities of a specific color channel. 
     
     
       10. The system of  claim 9 , wherein the color channel is infrared. 
     
     
       11. The system of  claim 8 , wherein the first image and second image are collected by a capture device in communication with the processor. 
     
     
       12. The system of  claim 8 , wherein the first image and the second image comprise images of a human face. 
     
     
       13. The system of  claim 12 , wherein the enhanced delta image comprises a blood flow in the human face. 
     
     
       14. A computer readable storage medium comprising executable instructions that when executed by a processor cause the processor to effectuate operations comprising:
 determining a plurality of differences in intensity comprising a difference in intensity between each pixel intensity of a plurality of pixel intensities of a first image and each pixel intensity of a corresponding plurality of pixel intensities of a subsequent second image; 
 generating a delta image comprising the plurality of differences in intensity; and 
 visually rendering, for each subsequent comparison, an integrated delta image comprising a second plurality of differences, the second plurality of differences comprising the differences between the plurality of differences of the delta image and the subsequent plurality of differences of the subsequent delta image, wherein a visual contrast of the integrated delta image is enhanced to accentuate a characteristic associated with the integrated delta image. 
 
     
     
       15. The computer readable storage medium of  claim 14 , wherein the plurality of pixel intensities comprises a plurality of pixel intensities of a specific color channel. 
     
     
       16. The computer readable storage medium of  claim 15 , wherein the color channel is infrared. 
     
     
       17. The computer readable storage medium of  claim 16 , wherein the first image and the second image comprise images of a human face. 
     
     
       18. The computer readable storage medium of  claim 17 , wherein the enhanced delta image comprises a blood flow in the human face. 
     
     
       19. The system of  claim 12 , wherein the integrated delta image is visually rendered according to a facial tracking model. 
     
     
       20. The system of  claim 8 , wherein the plurality of pixel intensities corresponds to a user-selected plurality of pixels of the first image.

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